iPhone 15 Pro Max
Geekbench ML Score
6161
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:11 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1575
294.7 IPS |
|
|
Image Classification (F16)
|
100% |
6251
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6890
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1387
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1777
29.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1770
29.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
14475
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
81704
98.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
87131
105.5 IPS |
|
|
Object Detection (F32)
|
100% |
2358
176.1 IPS |
|
|
Object Detection (F16)
|
100% |
3819
285.1 IPS |
|
|
Object Detection (I8)
|
97% |
2323
173.4 IPS |
|
|
Face Detection (F32)
|
100% |
6274
74.6 IPS |
|
|
Face Detection (F16)
|
97% |
10556
125.5 IPS |
|
|
Face Detection (I8)
|
96% |
10623
126.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12059
93.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
39084
303.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
49732
385.7 IPS |
|
|
Style Transfer (F32)
|
100% |
27931
36.7 IPS |
|
|
Style Transfer (F16)
|
100% |
115576
152.0 IPS |
|
|
Style Transfer (I8)
|
100% |
120763
158.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6896
246.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18129
647.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18531
661.8 IPS |
|
|
Text Classification (F32)
|
100% |
448
644.5 IPS |
|
|
Text Classification (F16)
|
100% |
477
685.3 IPS |
|
|
Text Classification (I8)
|
96% |
302
433.8 IPS |
|
|
Machine Translation (F32)
|
100% |
745
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1553
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
691
12.7 IPS |
